Conversion from cilostazol to OPC‐13015 linked to mitigation of cognitive impairment
Bibliographic record
Abstract
Abstract Introduction Cilostazol may be a novel therapeutic agent for Alzheimer's disease. Its metabolite, OPC‐13015, has a stronger inhibitory effect on type 3 phosphodiesterase than cilostazol. Methods We prospectively enrolled patients with mild cognitive impairment to whom cilostazol was newly prescribed. Patients underwent the Montreal Cognitive Assessment (MoCA) twice, at a 6‐month interval. Plasma cilostazol, OPC‐13015, OPC‐13213, and OPC‐13217 concentrations were determined using liquid chromatography‐tandem mass spectrometry. Results MoCA score changes from baseline to the 6‐month visit were positively correlated with ratios of OPC‐13015 to cilostazol and total metabolites ( n = 19, P = .005). Patients with higher ratios of OPC‐13015 (≥0.18, median value; n = 10) had significantly higher MoCA scores ( P = .036) than patients with lower ratios (the ratio <0.18, n = 9). The absolute value of OPC‐13015 concentration in blood was also higher in patients with preserved cognitive function ( P = .033). Discussion Blood OPC‐13015 levels may be a predictive biomarker of cilostazol treatment for Alzheimer's disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".